Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ljh1/mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljh1/mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ljh1/mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ljh1/mrpc") model = AutoModelForSequenceClassification.from_pretrained("ljh1/mrpc") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:181908727b4eee9282e5f4b8455d09e7696b7eb5d79a29acdeebb2e01052d6a6
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size 433274952
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